Showing 5,681 - 5,700 results of 19,084 for search '(( 50 ((mean decrease) OR (((nn decrease) OR (a decrease)))) ) OR ( 2 step decrease ))', query time: 0.73s Refine Results
  1. 5681

    Characteristics of Gasless Combustion of Core–Shell Al@NiO Microparticles with Boosted Exothermic Performance by Shina Maini (19413980)

    Published 2024
    “…The PM composite was not able to be ignited at all by a 5 W laser, while the core–shell counterpart ignited at 2.55 ms and was completely combusted within 6.50 ms accompanying a violent impulse.…”
  2. 5682
  3. 5683
  4. 5684

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  5. 5685

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  6. 5686

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  7. 5687

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  8. 5688

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  9. 5689

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  10. 5690

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  11. 5691

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  12. 5692

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  13. 5693

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  14. 5694

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  15. 5695

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  16. 5696

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  17. 5697

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  18. 5698

    Natural Derivatives of Selective HDAC8 Inhibitors with Potent <i>in Vivo</i> Antitumor Efficacy against Breast Cancer by Xiaoming Chen (230202)

    Published 2024
    “…XZB108, selectively inhibited HDAC8 (IC<sub>50</sub> = 0.90 ± 0.014 μM), suggesting that it may be a promising nonhydroxamate HDAC8 inhibitor. …”
  19. 5699

    IG feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”
  20. 5700

    RFE feature selection process. by Ahmed Muqdad Alnasrallah (21647492)

    Published 2025
    “…The proposed model employs Information Gain (IG) and Recursive Feature Elimination (RFE) in parallel to select the top 50% of features, from which intersection and union subsets are created, followed by a deep autoencoder (DAE) to reduce dimensionality without losing important data. …”